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BSC-HONOURS-COMPUTER-SCIENCE in Computer Science at Nabagram Hiralal Paul College
Hooghly, West Bengal
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About the Specialization
What is Computer Science at Nabagram Hiralal Paul College Hooghly?
This Computer Science (Honours) program at Nabagram Hiralal Paul College focuses on building a strong foundational and advanced understanding of computing principles, tailored to meet the evolving demands of the Indian tech industry. It emphasizes core areas such as programming, data structures, algorithms, and introduces emerging fields like Artificial Intelligence and Data Mining, preparing students for dynamic career paths. The curriculum is designed to foster both theoretical knowledge and practical application skills.
Who Should Apply?
This program is ideal for high school graduates with a strong aptitude for mathematics and problem-solving, eager to delve into the world of software development, data science, and IT infrastructure. It also caters to individuals aiming for postgraduate studies in computer science or those aspiring to contribute to India''''s burgeoning digital economy as innovators and skilled professionals. Prior exposure to basic programming concepts is beneficial but not strictly required.
Why Choose This Course?
Graduates of this program can expect to secure roles in diverse Indian companies, ranging from IT services and product development to startups in Bangalore, Hyderabad, and Pune. Entry-level salaries typically range from INR 3-6 lakhs per annum, with experienced professionals earning significantly more (INR 8-15+ lakhs). Career paths include Software Developer, Data Analyst, Network Administrator, and IT Consultant, aligning with certifications like AWS Certified Developer or Microsoft Certified Azure Administrator.
Student Success Practices
Foundation Stage
Master Programming Logic and C Language- (Semester 1-2)
Dedicate consistent time to practice coding problems in C. Understand control flow, functions, arrays, and pointers thoroughly, as they form the bedrock of advanced programming. Participate in weekly coding challenges to sharpen problem-solving skills.
Tools & Resources
GeeksforGeeks C programming section, HackerRank C challenges, Local college coding clubs
Career Connection
A strong grasp of C and fundamental programming logic is crucial for technical interviews and provides a robust base for learning any other programming language, essential for entry-level software development roles.
Build a Solid Foundation in Data Structures and Algorithms- (Semester 1-2)
Actively implement common data structures like linked lists, stacks, queues, trees, and graphs. Practice algorithm design principles, including sorting, searching, and basic graph algorithms. Utilize online judges to test your implementations against various test cases.
Tools & Resources
LeetCode (Easy/Medium problems), CodeChef (beginner contests), NPTEL lectures on DSA
Career Connection
Proficiency in DSA is non-negotiable for cracking coding rounds in top Indian tech companies and forms the core skillset for roles like Software Engineer, guaranteeing better placement opportunities and problem-solving acumen.
Engage in Peer Learning and Collaborative Projects- (Semester 1-2)
Form study groups to discuss complex topics, share understanding, and collectively solve problems. Work on small, group-based programming projects beyond the curriculum to apply learned concepts in a team environment. This fosters communication and teamwork skills.
Tools & Resources
GitHub for version control, Google Meet/Zoom for virtual collaboration, College labs for group sessions
Career Connection
Collaboration skills are highly valued in the industry. Working in teams simulates real-world project scenarios, improving your ability to contribute effectively in software development teams post-graduation.
Intermediate Stage
Deep Dive into Java and Object-Oriented Programming (OOP)- (Semester 3-4)
Beyond theoretical understanding, extensively practice implementing OOP principles (Inheritance, Polymorphism, Abstraction, Encapsulation) in Java. Develop small-scale projects like a library management system or a basic banking application to gain practical experience.
Tools & Resources
Oracle Java Tutorials, IntelliJ IDEA/Eclipse IDE, Udemy courses on advanced Java
Career Connection
Java is a dominant language in enterprise application development in India. Mastery of Java and OOP concepts opens doors to roles in companies building scalable backend systems, mobile apps, and big data solutions.
Explore Database Management and SQL Proficiency- (Semester 3-4)
Actively learn SQL for database interaction, including complex queries, joins, subqueries, and database design. Work with a relational database management system like MySQL or PostgreSQL to build and manage databases for your projects.
Tools & Resources
MySQL Workbench, SQLZoo interactive tutorials, GeeksforGeeks SQL practice
Career Connection
Database skills are fundamental for almost all software development and data-related roles. Strong SQL knowledge makes you a valuable asset for positions involving data management, backend development, and data analysis.
Participate in Coding Competitions and Hackathons- (Semester 3-5)
Regularly participate in online coding contests and college-level hackathons. This helps in quick problem-solving, working under pressure, and exposing you to a variety of real-world challenges, boosting your competitive programming profile.
Tools & Resources
Codeforces, TopCoder, College hackathon events
Career Connection
Success in competitive programming demonstrates exceptional problem-solving abilities, which is a significant plus point for recruiters from product-based companies and helps in building a strong resume for placements.
Advanced Stage
Undertake Industry-Relevant Projects and Internships- (Semester 5-6)
Identify areas of interest (e.g., AI, Web Development, Cyber Security) and work on significant projects, preferably with real-world applications. Seek out internships in relevant companies during summer breaks to gain practical industry exposure and build a professional network.
Tools & Resources
LinkedIn for internship searches, College placement cell resources, GitHub for project showcasing
Career Connection
Internships are often the direct route to full-time employment. Practical projects demonstrate your capabilities to potential employers, making you job-ready and providing valuable experience for roles in specialized fields.
Specialize and Build a Portfolio in an Emerging Tech Area- (Semester 5-6)
Choose an elective area like Artificial Intelligence, Data Mining, or Network Security and dive deeper. Complete advanced online courses, build a portfolio of specialized projects, and contribute to open-source projects in your chosen domain.
Tools & Resources
Coursera/edX for specialized courses, Kaggle for data science projects, GitHub for open-source contributions
Career Connection
Specializing in a high-demand area like AI/ML or cybersecurity makes you a niche candidate, increasing your market value and opening up opportunities in cutting-edge tech companies and research roles in India.
Focus on Placement Preparation and Soft Skills Development- (Semester 6)
Actively prepare for placement drives by practicing aptitude tests, group discussions, and mock interviews. Develop essential soft skills such as communication, presentation, and professional etiquette, which are critical for corporate success in India.
Tools & Resources
Placement training workshops, Online aptitude test platforms, Mock interview sessions with faculty/alumni
Career Connection
Comprehensive placement preparation ensures you are well-equipped to navigate the recruitment process, significantly increasing your chances of securing a desirable job offer in a leading Indian or multinational company.
Program Structure and Curriculum
Eligibility:
- Candidates must have passed 10+2 examination with Computer Science / Mathematics as one of the subjects, along with fulfilling general university/college admission criteria.
Duration: 6 semesters / 3 years
Credits: 140 Credits
Assessment: Internal: Approximately 20% for most theory and practical papers (Internal Assessment and Attendance combined), External: Approximately 80% for most theory and practical papers (Semester-End Examination)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CMSG-CC-1-1-TH | Programming Fundamentals using C | Core Theory | 4 | Introduction to Programming, C Fundamentals, Control Structures (loops, conditionals), Functions and Recursion, Arrays and Pointers, Structures and File Handling |
| CMSG-CC-1-1-P | Programming Fundamentals using C Lab | Core Practical | 2 | Program implementation using C, Conditional statements and loops, Function and array usage, Pointer and string manipulation, Structure and file handling exercises |
| CMSG-CC-1-2-TH | Digital Logic | Core Theory | 4 | Logic Gates and Boolean Algebra, Combinational Circuits (adders, multiplexers), Sequential Circuits (flip-flops, registers), Counters and Shift Registers, Memory Elements, Data Representation |
| CMSG-CC-1-2-P | Digital Logic Lab | Core Practical | 2 | Implementation of logic gates, Design of combinational circuits, Design of sequential circuits, Verification of digital components |
| AECO-1 | English Communication / MIL | Ability Enhancement Compulsory Course | 2 | Grammar and Usage, Reading Comprehension, Writing Skills (reports, essays), Speaking Skills, Communication Strategies |
| GE-1 | Generic Elective - I | Generic Elective (Student Choice) | 6 | Selected from a list of subjects like Mathematics, Statistics, Physics, etc., Content varies based on student''''s choice and specific university curriculum |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CMSG-CC-2-3-TH | Data Structures | Core Theory | 4 | Arrays and Linked Lists, Stacks and Queues, Trees and Binary Search Trees, Graphs and Graph Algorithms, Sorting and Searching Algorithms, Hashing Techniques |
| CMSG-CC-2-3-P | Data Structures Lab | Core Practical | 2 | Implementation of arrays and linked lists, Stack and queue operations, Tree traversals and operations, Graph representations and algorithms, Sorting and searching algorithm implementation |
| CMSG-CC-2-4-TH | Computer Architecture | Core Theory | 4 | Basic Computer Organization, CPU Design and Instruction Sets, Control Unit Design, Memory Hierarchy, Input/Output Organization, Pipelining and Parallel Processing |
| CMSG-CC-2-4-P | Computer Architecture Lab | Core Practical | 2 | Assembly language programming (e.g., 8085/8086), Simulation of basic computer components, Data transfer and arithmetic operations |
| AECO-2 | Environmental Studies | Ability Enhancement Compulsory Course | 2 | Basics of Environmental Studies, Ecosystems and Biodiversity, Natural Resources and their Management, Environmental Pollution and Control, Social Issues and the Environment |
| GE-2 | Generic Elective - II | Generic Elective (Student Choice) | 6 | Selected from a list of subjects like Mathematics, Statistics, Physics, etc., Content varies based on student''''s choice and specific university curriculum |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CMSG-CC-3-5-TH | Java Programming | Core Theory | 4 | Object-Oriented Programming Concepts, Java Fundamentals (syntax, data types), Classes, Objects, and Methods, Inheritance, Polymorphism, Interfaces, Exception Handling and Multithreading, File I/O and GUI Programming (AWT/Swing) |
| CMSG-CC-3-5-P | Java Programming Lab | Core Practical | 2 | Implementation of OOP concepts in Java, Developing GUI applications, Handling exceptions and files, Multithreaded programming, Applet development |
| CMSG-CC-3-6-TH | Operating Systems | Core Theory | 4 | Operating System Concepts and Services, Process Management and CPU Scheduling, Deadlocks and Concurrency Control, Memory Management (paging, segmentation), Virtual Memory and File Systems, I/O Systems and Disk Scheduling |
| CMSG-CC-3-6-P | Operating Systems Lab | Core Practical | 2 | Linux commands and shell scripting, Process creation and management, CPU scheduling algorithm implementation, Memory allocation strategies, System calls for file management |
| CMSG-CC-3-7-TH | Computer Networks | Core Theory | 4 | Network Topologies and Categories, OSI and TCP/IP Models, Data Link Layer (MAC, Ethernet), Network Layer (IP addressing, routing), Transport Layer (TCP, UDP), Application Layer Protocols (HTTP, DNS, SMTP) |
| CMSG-CC-3-7-P | Computer Networks Lab | Core Practical | 2 | Network commands and utilities (ping, tracert), Socket programming, Network configuration (IP, subnetting), Packet capture and analysis (Wireshark) |
| CMSG-SEC-3-1 | Python Programming | Skill Enhancement Course (Choice from Python/R/PHP) | 2 | Python Fundamentals and Data Types, Control Flow and Functions, Modules and Packages, File I/O and Exception Handling, Object-Oriented Programming in Python, Basic Data Structures in Python |
| GE-3 | Generic Elective - III | Generic Elective (Student Choice) | 6 | Selected from a list of subjects like Mathematics, Statistics, Physics, etc., Content varies based on student''''s choice and specific university curriculum |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CMSG-CC-4-8-TH | Design and Analysis of Algorithms | Core Theory | 4 | Algorithm Analysis and Asymptotic Notations, Divide and Conquer Algorithms, Greedy Algorithms, Dynamic Programming, Graph Algorithms (MST, Shortest Path), Complexity Classes (P, NP, NP-complete) |
| CMSG-CC-4-8-P | Design and Analysis of Algorithms Lab | Core Practical | 2 | Implementation of sorting and searching algorithms, Greedy algorithm implementation, Dynamic programming problem solving, Graph algorithm implementation (DFS, BFS, Dijkstra), Analysis of algorithm efficiency |
| CMSG-CC-4-9-TH | Software Engineering | Core Theory | 4 | Software Life Cycle Models (Waterfall, Agile), Requirements Engineering, Software Design Concepts, Software Testing Techniques, Software Project Management, Software Quality Assurance |
| CMSG-CC-4-9-P | Software Engineering Lab | Core Practical | 2 | Case study on software development models, Requirements gathering and SRS documentation, UML diagrams for software design, Test case generation and testing tools, Project planning and management tools |
| CMSG-CC-4-10-TH | Database Management Systems | Core Theory | 4 | DBMS Concepts and Architecture, Entity-Relationship (ER) Model, Relational Model and Relational Algebra, SQL (Structured Query Language), Normalization and Dependency Theory, Transaction Management and Concurrency Control |
| CMSG-CC-4-10-P | Database Management Systems Lab | Core Practical | 2 | SQL query writing (DDL, DML, DCL), Database design and implementation, Joining tables and complex queries, Triggers, stored procedures, views, Using RDBMS (e.g., MySQL, PostgreSQL) |
| CMSG-SEC-4-2 | Web Design and Scripting | Skill Enhancement Course (Choice from Web Design/Android/PHP) | 2 | HTML5 and CSS3, JavaScript Fundamentals, DOM Manipulation, Responsive Web Design, Introduction to Web Hosting, Basic Front-end Frameworks |
| GE-4 | Generic Elective - IV | Generic Elective (Student Choice) | 6 | Selected from a list of subjects like Mathematics, Statistics, Physics, etc., Content varies based on student''''s choice and specific university curriculum |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CMSG-CC-5-11-TH | Artificial Intelligence | Core Theory | 4 | Introduction to AI and Intelligent Agents, Problem-Solving through Search (BFS, DFS, A*), Knowledge Representation and Reasoning, Expert Systems, Introduction to Machine Learning, Natural Language Processing Basics |
| CMSG-CC-5-11-P | Artificial Intelligence Lab | Core Practical | 2 | AI programming exercises (e.g., Python AI libraries), Implementing search algorithms, Knowledge base creation, Simple expert system design, Game playing algorithms |
| CMSG-CC-5-12-TH | Theory of Computation | Core Theory | 4 | Finite Automata and Regular Languages, Regular Expressions and Properties, Context-Free Grammars and Pushdown Automata, Turing Machines, Decidability and Undecidability, Complexity Classes (P, NP) |
| CMSG-CC-5-12-P | Theory of Computation Lab | Core Practical | 2 | Design and simulation of finite automata, Implementation of regular expressions, Design of pushdown automata, Turing machine simulation |
| CMSG-DSE-5-1 | Microprocessor and Microcontrollers | Discipline Specific Elective (Choice from Operation Research/Microprocessor/Distributed Systems) | 4 | 8085/8086 Microprocessor Architecture, Assembly Language Programming, Memory Interfacing, Input/Output Interfacing, Introduction to Microcontrollers (e.g., 8051), Embedded Systems Basics |
| CMSG-DSE-5-1-P | Microprocessor and Microcontrollers Lab | Discipline Specific Elective Practical | 2 | Assembly language programming exercises, Interfacing experiments with 8085/8086, Microcontroller programming (e.g., 8051), Working with I/O devices |
| CMSG-DSE-5-2 | Artificial Neural Network | Discipline Specific Elective (Choice from ANN/Programming in .NET/Data Communication) | 4 | Introduction to Neural Networks, Perceptron and its Learning Rule, Multilayer Perceptrons and Backpropagation, Feedforward Neural Networks, Recurrent Neural Networks, Introduction to Deep Learning Concepts |
| CMSG-DSE-5-2-P | Artificial Neural Network Lab | Discipline Specific Elective Practical | 2 | Implementation of Perceptron learning, Building and training simple neural networks, Using neural network libraries (e.g., Keras, TensorFlow), Experiments with backpropagation algorithm |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CMSG-CC-6-13-TH | Computer Graphics | Core Theory | 4 | Graphics Primitives and Rasterization, 2D and 3D Transformations, Viewing and Clipping Algorithms, Projection Techniques, Shading and Illumination Models, Introduction to Animation and Modeling |
| CMSG-CC-6-13-P | Computer Graphics Lab | Core Practical | 2 | Implementation of line and circle drawing algorithms, 2D and 3D transformation programs, Clipping algorithm implementation, Basic animation techniques, Using graphics libraries (e.g., OpenGL) |
| CMSG-CC-6-14-TH | Web Technology | Core Theory | 4 | HTML, CSS, and JavaScript for Frontend, XML and AJAX, Server-Side Scripting (e.g., PHP), Database Connectivity with Web Applications, Web Services and APIs, Web Security Fundamentals |
| CMSG-CC-6-14-P | Web Technology Lab | Core Practical | 2 | Designing static and dynamic web pages, Implementing client-side scripting with JavaScript, Developing server-side scripts with PHP, Database integration for web applications, AJAX implementation for dynamic content |
| CMSG-DSE-6-3 | Data Mining | Discipline Specific Elective (Choice from Data Mining/Pattern Recognition/IoT) | 4 | Introduction to Data Mining, Data Preprocessing, Association Rule Mining, Classification Techniques, Clustering Methods, Data Warehousing and OLAP |
| CMSG-DSE-6-3-P | Data Mining Lab | Discipline Specific Elective Practical | 2 | Data preprocessing tasks, Implementing association rule algorithms, Applying classification models, Using clustering algorithms, Data visualization for analysis |
| CMSG-DSE-6-4 | Network Security | Discipline Specific Elective (Choice from Network Security/Embedded Systems/Mobile Computing) | 4 | Introduction to Network Security, Cryptography and Encryption, Network Attacks and Vulnerabilities, Firewalls and Intrusion Detection Systems, Virtual Private Networks (VPN), Wireless Network Security |
| CMSG-DSE-6-4-P | Network Security Lab | Discipline Specific Elective Practical | 2 | Implementing cryptographic algorithms, Network scanning and vulnerability assessment, Configuring firewalls and IDS, Setting up VPNs, Packet analysis for security threats |
